<p><b>Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework</b></p> <h4>Key Features</h4> <ul><li>Master the art of real-time big data processing and machine learning </li> <li>Explore a wide range of use-cases to analyze
Real-Time Streaming with Apache Kafka, Spark, and Storm: Create Platforms that Can Quickly Crunch Data and Deliver Real-Time Analytics to Users
β Scribed by Brindha Priyadarshini Jeyaraman
- Publisher
- BPB Publications
- Year
- 2022
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
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<p><b>A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario</b></p><h2>About This Book</h2><ul><li>Learn about the various challenges in real-time data processing and use the right tools to overcome them</li><li>This bo
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<b>Construct a robust end-to-end solution for analyzing and visualizing streaming data</b>Real-time analytics is the hottest topic in data analytics today. In<i>Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data</i>, expert Byron Ellis teaches data analysts technologies to build
<b>Construct a robust end-to-end solution for analyzing and visualizing streaming data</b><p>Real-time analytics is the hottest topic in data analytics today. In <i>Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data</i>, expert Byron Ellis teaches data analysts technologies to b
Construct a robust endβtoβend solution for analyzing and visualizing streaming data Realβtime analytics is the hottest topic in data analytics today. In RealβTime Analytics: Techniques to Analyze and Visualize Streaming Data , expert Byron Ellis teaches data analysts technologies to build an effecti